TY  - BOOK
AU  - Angulo,Jesús
AU  - Velasco-Forero,Santiago
AU  - Meyer,Fernand
ED  - SpringerLink (Online service)
TI  - Mathematical Morphology and Its Applications to Signal and Image Processing: 13th International Symposium, ISMM 2017, Fontainebleau, France, May 15–17, 2017, Proceedings 
T2  - Image Processing, Computer Vision, Pattern Recognition, and Graphics
SN  - 9783319572406
AV  - TA1630-1650 
U1  - 006.6 23
PY  - 2017///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Optical data processing
KW  - Computer science—Mathematics
KW  - Algorithms
KW  - Data structures (Computer science)
KW  - Artificial intelligence
KW  - Image Processing and Computer Vision
KW  - Math Applications in Computer Science
KW  - Discrete Mathematics in Computer Science
KW  - Algorithm Analysis and Problem Complexity
KW  - Data Structures
KW  - Artificial Intelligence
N1  - Algebraic Theory, Max-Plus and Max-Min Mathematics -- Discrete Geometry and Discrete Topology -- Watershed and Graph-based Segmentation -- Trees and Hierarchies -- Topological and Graph-based Clustering, Classification and Filtering -- Connected Operators and Attribute Filters -- PDE-based Morphology -- Scale-Space Representations and Nonlinear Decompositions -- Computational Morphology -- Object Detection -- Biomedical, Material Science and Physical Applications; Available to subscribing member institutions only. Доступно лише організаціям членам підписки
N2  - This book contains the refereed proceedings of the 13th International Symposium on Mathematical Morphology, ISMM 2017, held in Fontainebleau, France, in May 2017. The 36 revised full papers presented together with 4 short papers were carefully reviewed and selected from 53 submissions. The papers are organized in topical sections on algebraic theory, max-plus and max-min mathematics; discrete geometry and discrete topology; watershed and graph-based segmentation; trees and hierarchies; topological and graph-based clustering, classification and filtering; connected operators and attribute filters; PDE-based morphology; scale-space representations and nonlinear decompositions; computational morphology; object detection; and biomedical, material science and physical applications
UR  - https://doi.org/10.1007/978-3-319-57240-6
ER  -